Diabatix ColdStream
New generation of generative design software for thermal & flow topology optimization for optimal heat sink design
Integrate the Diabatix ColdStream API with the Snowflake API
Setup the Diabatix ColdStream API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Diabatix ColdStream and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Diabatix ColdStream with Snowflake#
Popular Diabatix ColdStream and Snowflake Triggers#
Emit new event when a specific project has been upgraded or edited in ColdStream.
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a simulation has been successfully completed.
Popular Diabatix ColdStream and Snowflake Actions#
Retrieves the result of a specific simulation from ColdStream. See the documentation
Starts a new simulation in ColdStream with specified parameters and submits the created case. See the documentation
Updates an existing project with new parameters or data in ColdStream. See the documentation
Overview of Diabatix ColdStream#
The Diabatix ColdStream API provides automated thermal analysis capabilities, allowing users to streamline the cooling design process for various components and devices. With this API, you can automate the design of thermal systems, optimize existing cooling solutions, and simulate different scenarios to find the most effective thermal management strategy. In Pipedream, you can leverage this API to build automated workflows that integrate thermal analysis into your engineering cycles, ensuring your designs meet the necessary thermal specifications before physical prototypes are ever built.
Connect Diabatix ColdStream#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
diabatix_coldstream: {
type: "app",
app: "diabatix_coldstream",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://identity.coldstream.diabatix.com/users/me`,
headers: {
Authorization: `Bearer ${this.diabatix_coldstream.$auth.access_token}`,
"accept": `application/json`,
},
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})